All Outputs (136)

Co-evolving memetic algorithms: Initial investigations (2002)
Presentation / Conference Contribution

This paper presents and examines the behaviour of a system whereby the rules governing local search within a Memetic Algorithm are co-evolved alongside the problem representation. We describe the rationale for such a system, and the implementation of... Read More about Co-evolving memetic algorithms: Initial investigations.

Genetic algorithms (2002)
Book Chapter

On appropriate adaptation levels for the learning of gene linkage (2002)
Journal Article

A modified neocognitron network for medical signal classification (2001)
Presentation / Conference Contribution

An alternative approach for the evaluation of the neocognitron (2001)
Presentation / Conference Contribution

New methods for tunable, random landscapes (2001)
Presentation / Conference Contribution

Modelling GAs with self-adaptive mutation rates (2001)
Presentation / Conference Contribution

MAFRA: A java memetic algorithms framework (2000)
Presentation / Conference Contribution

A memetic algorithm with self-adaptive local search: TSP as a case study (2000)
Presentation / Conference Contribution

Protein structure prediction with evolutionary algorithms (1999)
Presentation / Conference Contribution

Replacement strategies in steady state genetic algorithms: Static environments (1999)
Presentation / Conference Contribution

An examination of tuneable, random search landscapes (1999)
Presentation / Conference Contribution

Replacement strategies in steady state genetic algorithms: Dynamic environments (1999)
Journal Article

Self adaptation in evolutionary algorithms (1998)
Thesis

Evolutionary Algorithms are search algorithms based on the Darwinian metaphor of “Natural Selection”. Typically these algorithms maintain a population of individual solutions, each of which has a fitness attached to it, which in some way reflects the... Read More about Self adaptation in evolutionary algorithms.

Genetic selection of features for clustering and classification (1997)
Presentation / Conference Contribution

Microprocessor design verification by two-phase evolution of variable length tests (1997)
Presentation / Conference Contribution

Operator and parameter adaptation in genetic algorithms (1997)
Journal Article

Genetic Algorithms are a class of powerful, robust search techniques based on genetic inheritance and the Darwinian metaphor of “Natural Selection”. These algorithms maintain
a finite memory of individual points on the search landscape known as the... Read More about Operator and parameter adaptation in genetic algorithms.

Recombination strategy adaptation via evolution of gene linkage (1996)
Presentation / Conference Contribution

Self adaptation of mutation rates in a steady state genetic algorithm (1996)
Presentation / Conference Contribution

Evolving software test data: GA's learn self expression (1996)
Book Chapter